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Erschienen in:

2013 | OriginalPaper | Buchkapitel

1. Research on Self-Organization Evolution Mechanism of Knowledge Capital in High-Tech Virtual Industry Cluster

verfasst von : Chang-yuan Gao, Xiao-yan He

Erschienen in: The 19th International Conference on Industrial Engineering and Engineering Management

Verlag: Springer Berlin Heidelberg

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Abstract

The main purpose of this paper is to find a way to develop high-tech virtual industry cluster (HTVIC). Considering HTVIC knowledge capital (HKC) as the order parameter, the paper establishes a self-organization model for HKC and analyzes its evolution rules based on potential function by self-organization theory. Lastly, the research draws a conclusion that HKC is a self-organization system and evolves from a disordered state to an ordered state, and even to a more orderly state to realize transition. Therefore, the institution regulation should be set up to reinforce the evolutionary order of HKC, so as to promote the development of HTVIC.

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Titel: Research on Self-Organization Evolution Mechanism of Knowledge Capital in High-Tech Virtual Industry Cluster
verfasst von: Chang-yuan Gao
Xiao-yan He
Verlag: Springer Berlin Heidelberg
Buch: The 19th International Conference on Industrial Engineering and Engineering Management
Print ISBN: 978-3-642-38426-4

Electronic ISBN: 978-3-642-38427-1

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-3-642-38427-1_1